No, AI isn't. Any new tech, or version upgrade, or whatever, takes time for people to become familiar with it. You might as well say "Stack Overflow is stifling new tech adoption" because brand-new stuff doesn't have many Q's and A's yet. But that would be a silly thing to say. I'm not going to adopt a brand-new database regardless of LLM training data cutoff, just because enough people haven't had enough experience…
I feel myself taking AI’s base knowledge of a tech stack into account when I work. Otherwise it feels like I am swimming upstream. I can’t be the only one, and this article resonated for me.
The knowledge bottleneck is in the human population, which is then reflected in Stack Overflow and blogs, which is then reflected in LLM's.
LLM's aren't doing anything special to stifle new tech adoption. New tech is harder to adopt because it's new tech, because people in general are less familiar with it.
(And there's a little bit of a training delay in LLM's updating, but that's a minor aspect here compared to the years it takes for a new Python package to become popular, for example.)